Instructions to use Sreenath/sqlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sreenath/sqlm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Sreenath/sqlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fce6310ddd02ec78dccbb6c94e5b42b2fde0b2013015da98abe2bee74ea31eb
- Size of remote file:
- 109 MB
- SHA256:
- 266117e8fba3c0e610153ec96871fe275d76e576176b2dfeed5838188dde0cc1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.